| Speedy Performance Estimation for Neural Architecture Search R Ru, C Lyle, L Schut, M Fil, M van der Wilk, Y Gal Advances in Neural Information Processing Systems 34, 2021 | 58 | 2021 |
| Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties L Schut, O Key, R McGrath, L Costabello, B Sacaleanu, M Corcoran, ... Proceedings of The 24th International Conference on Artificial Intelligence …, 2021 | 58 | 2021 |
| Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero L Schut, N Tomasev, T McGrath, D Hassabis, U Paquet, B Kim https://arxiv.org/abs/2310.16410, 2023 | 34 | 2023 |
| A Bayesian Perspective on Training Speed and Model Selection C Lyle, L Schut, R Ru, Y Gal, M van der Wilk Advances in Neural Information Processing Systems 33, 2020 | 31 | 2020 |
| Semantic entropy probes: Robust and cheap hallucination detection in llms J Kossen, J Han, M Razzak, L Schut, S Malik, Y Gal arXiv preprint arXiv:2406.15927, 2024 | 22* | 2024 |
| Diversifying AI: Towards Creative Chess with AlphaZero T Zahavy, V Veeriah, S Hou, K Waugh, M Lai, E Leurent, N Tomasev, ... https://arxiv.org/abs/2308.09175, 2023 | 18 | 2023 |
| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, S Shi, M Choi, A Agrawal, ... arXiv preprint arXiv:2501.14249, 2025 | 12 | 2025 |
| DeDUCE: Generating Counterfactual Explanations At Scale B Höltgen, L Schut, JM Brauner, Y Gal eXplainable AI approaches for debugging and diagnosis., 2021 | 10* | 2021 |
| Capsule Networks--A Probabilistic Perspective L Smith, L Schut, Y Gal, M van der Wilk arXiv preprint arXiv:2004.03553, 2020 | 7 | 2020 |
| Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors A Nicolson, L Schut, A Noble, Y Gal Transactions on Machine Learning Research, 0 | 3* | |
| Do Multilingual LLMs Think In English? L Schut, Y Gal, S Farquhar arXiv preprint arXiv:2502.15603, 2025 | | 2025 |
| Can Network Flatness Explain the Training Speed-Generalisation Connection? AQ Jiang, LSCLY Gal | | 2021 |
| Model-based Saliency for the Detection of Adversarial Examples L Schut, Y Gal | | 2019 |
| Influence of Outliers on Cluster Correspondence Analysis M van de Velden, AI D’Enza, L Schut Book of Short Papers, 454, 2019 | | 2019 |
Yarin GalAssociate Professor, University of OxfordBestätigte E-Mail-Adresse bei cs.ox.ac.uk